Abstract
Abstract : Medical simulation models, such as the Naval Health Research Center's (NHRC) Tactical Medical Logistics (TML+) planning tool, stochastically represent the mortality of casualties with life-threatening injuries at various points in the Medical Treatment Facility (MTF) network flow. NHRC is seeking to determine a mathematical (probabilistic) representation of a conditional survival function that is reasonable in the context of other stochastic models being used in TML+. The paper describes NHRC's research approach to determine an acceptable TML+ model for the mortality function, describes Subject Matter Expert (SME) opinion results being used as the basis for an interim descriptive model using a biomedical sciences probability model (Weibull), and gives the future plans to capture more quantitative mortality and treatment data from the Navy-Marine Corps Combat Trauma Registry and other sources to use in investigating the applicability of a full range of biomedical sciences probability models via inferential methods.
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